In order to improve the accuracy and efficiency of intelligent venicle road extraction, a road detection algorithm based on parallel edge features is proposed. A new fast rough segmentation algorithm for road area image based on edge connection is proposed. Edges points local linear detection and direction are coded, and the vertical lines are detected to estimate the most likely road region. The parallel edges in the most likely road region are extracted based on the similarity degree of local orientation, and three efficient criterions are presented to extract the road region. Experimental results show that the proposed algorithm is suitable for various road images, which can accurately detect the road regions of straight and curved roads at a fast time. The speed and accuracy of the proposed algorithm improves largely.